This is one of the best posts I have read in a long while. I have been thinking quite a lot about Big Data and trying to understand why so many Big Thinkers are in love with Big Data.
This post by John Kuhn helps me figure out how this happened and what it is wrong.
He refers to Campbell’s Law when he describes the principle that the more a measure counts, the more it distorts the very process it was intended to measure. That means that an audit should have no stakes attached to it. If testing is high-stakes, then people start acting as if the test score is the same as education instead of a measure.
This is where John Kuhn starts, and it gets better and better with each paragraph, written in the fierce and direct style of this great education thinker of our day:
View original post 259 more words